In the encoding phase, motion decoding, motion compensating, and residual decoding are required to compute the previous reconstructed frame \(\hat{x}_{t-1}\) , which results in a very high computational cost.
Although the explicit optical flow network is omitted in [1]}, [2]} to reduce the model storage and computation, the framework with two compression networks and entropy models networks is still complicated for practical applications, considering the model storage, computation, and variable-rate control.
